This paper performs a global robust stability analysis of a particular class of hybrid bidirectional associative memory time-varying delayed neural network with norm-bounded timevarying parameter uncertainties. The activation functions are assumed to be globally Lipschitz continuous. Globally delay-dependent robust stability criteria are derived in the form of linear matrix inequalities by introducing relaxation matrices which, when chosen properly, produce a less conservative result. Two numerical examples are given to illustrate the significant improvement obtained in the conservativeness of the delay bound.
|Number of pages||8|
|Journal||Journal of Marine Science and Technology|
|Publication status||Published - 2010 Apr 1|
All Science Journal Classification (ASJC) codes
- Ocean Engineering
- Mechanics of Materials
- Mechanical Engineering